by microsoft
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
# Add to your Claude Code skills
git clone https://github.com/microsoft/mcp-for-beginnersGuides for using mcp servers skills like mcp-for-beginners.
Last scanned: 4/17/2026
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}mcp-for-beginners is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by microsoft. This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration. It has 16,730 GitHub stars.
Yes. mcp-for-beginners passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/microsoft/mcp-for-beginners" and add it to your Claude Code skills directory (see the Installation section above).
mcp-for-beginners is primarily written in Jupyter Notebook. It is open-source under microsoft on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh mcp-for-beginners against similar tools.
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Follow these steps to get started using these resources:
git clone https://github.com/microsoft/mcp-for-beginners.gitArabic | Bengali | Bulgarian | Burmese (Myanmar) | Chinese (Simplified) | Chinese (Traditional, Hong Kong) | Chinese (Traditional, Macau) | Chinese (Traditional, Taiwan) | Croatian | Czech | Danish | Dutch | Estonian | Finnish | French | German | Greek | Hebrew | Hindi | Hungarian | Indonesian | Italian | Japanese | Kannada | Khmer | Korean | Lithuanian | Malay | Malayalam | Marathi | Nepali | Nigerian Pidgin | Norwegian | Persian (Farsi) | Polish | Portuguese (Brazil) | Portuguese (Portugal) | Punjabi (Gurmukhi) | Romanian | Russian | Serbian (Cyrillic) | Slovak | Slovenian | Spanish | Swahili | Swedish | Tagalog (Filipino) | Tamil | Telugu | Thai | Turkish | Ukrainian | Urdu | Vietnamese
Prefer to Clone Locally?
This repository includes 50+ language translations which significantly increases the download size. To clone without translations, use sparse checkout:
Bash / macOS / Linux:
git clone --filter=blob:none --sparse https://github.com/microsoft/mcp-for-beginners.git cd mcp-for-beginners git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'CMD (Windows):
git clone --filter=blob:none --sparse https://github.com/microsoft/mcp-for-beginners.git cd mcp-for-beginners git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"This gives you everything you need to complete the course with a much faster download.
Welcome to your journey into the Model Context Protocol! If you've ever wondered how AI applications communicate with different tools and services, you're about to discover the elegant solution that's transforming how developers build intelligent systems.
Think of MCP as a universal translator for AI applications - just like how USB ports let you connect any device to your computer, MCP lets AI models connect to any tool or service in a standardized way. Whether you're building your first chatbot or working on complex AI workflows, understanding MCP will give you the power to create more capable and flexible applications.
This curriculum is designed with patience and care for your learning journey. We'll start with simple concepts you already understand and gradually build your expertise through hands-on practice in your favorite programming language. Every step includes clear explanations, practical examples, and plenty of encouragement along the way.
By the time you complete this journey, you'll have the confidence to build your own MCP servers, integrate them with popular AI platforms, and understand how this technology is reshaping the future of AI development. Let's begin this exciting adventure together!
This curriculum is aligned with MCP Specification 2025-11-25 (the latest stable release). The MCP specification uses date-based versioning (YYYY-MM-DD format) to ensure clear protocol version tracking.
Looking ahead: a release candidate for the next specification version, 2026-07-28, is scheduled to ship on July 28, 2026. It makes the protocol stateless at the transport layer, formalizes an Extensions framework (MCP Apps, Tasks), hardens authorization, and deprecates Roots, Sampling, and Logging. See What's Changing in MCP: The 2026-07-28 Release Candidate for a full breakdown.
These resources become more valuable as your understanding grows, but don't feel pressured to read everything immediately. Start with the areas that interest you most!
By the end of this curriculum, you'll feel confident and excited about your new abilities. Here's what you'll achieve:
• Understand MCP fundamentals: You'll grasp what the Model Context Protocol is and why it's revolutionizing how AI applications work together, using analogies and examples that make sense.
• Build your first MCP server: You'll create a working MCP server in your preferred programming language, starting with simple examples and growing your skills step by step.
• Connect AI models to real tools: You'll learn how to bridge the gap between AI models and actual services, giving your applications powerful new capabilities.
• Implement security best practices: You'll understand how to keep your MCP implementations safe and secure, protecting both your applications and your users.
• Deploy with confidence: You'll know how to take your MCP projects from development to production, with practical deployment strategies that work in the real world.
• Join the MCP community: You'll become part of a growing community of developers who are shaping the future of AI application development.
Before we dive into MCP specifics, let's make sure you feel comfortable with some foundational concepts. Don't worry if you're not an expert in these areas - we'll explain everything you need to kno